Updated 3 h ago · first seen 12 Sept 2026
model_01M29XKN4EYYNHP0PA0KK7314X
Overview
Identity
Identity block not returned by the API for this entity.
Openness
Openness not classified yet — no sourced evidence to place this model in the ontology.
Key facts
- Status
Source:Mistral AI docsT2observed 10 h agomediumLLM-extracted
Architecture
- Architecture
Source:Mistral AI docsT2observed 10 h agomediumLLM-extracted
- Parameters
Source:Mistral AI docsT2observed 10 h agomediumLLM-extracted
- Mixture of experts
Source:Mistral AI docsT2observed 10 h agomediumLLM-extracted
Capabilities
Modalities
- Modalities
- Navigation commands (pointing coordinates/orientation or local frame displacements)Plain-language instructionRGB images
- Input
- Plain-language instructionRGB images
- Output
- Navigation commands (pointing coordinates/orientation or local frame displacements)
Capabilities
Tool calling
Unavailable
Structured output
Unavailable
Reasoning
Unavailable
Vision
Yes
Mistral AI docs · T2
Audio
No
Mistral AI docs · T2
Fine-tuning available
Unavailable
- Languages
Source:Mistral AI docsT2observed 10 h agomediumLLM-extracted
Hardware fit37
Assumptions (6)
- Estimated, not measured: weights = parameters × bytes/param × 1.15 runtime overhead.
- bytes/param: 4bit = 0.5, 8bit = 1.0, fp16 = 2.0 (uniform quantization, no per-layer exceptions).
- KV cache approximated at 0.5 GB per 8 192 tokens of context, independent of architecture (GQA/MLA models need less).
- A model 'fits' when the estimate is at most the device memory minus 2 GB reserved for the OS and framework.
- Mixture-of-experts models are estimated on total parameters (all experts must be resident); active parameters are ignored.
- Device memory uses the largest configuration when several are listed (e.g. Apple silicon tiers).
Lineage
Open in Graph →Timeline1
Full timeline →Change history
Training data notestraining_data_notes1
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
Provenance
Attributed facts
12
Source tiers
T212
Freshest observation
10 h ago
Conflicts
None
Source documents 1
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.
Data quality (50/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →